EP3247272A1 - Method and apparatus for recognising the condition of vehicle occupants - Google Patents
Method and apparatus for recognising the condition of vehicle occupantsInfo
- Publication number
- EP3247272A1 EP3247272A1 EP16700709.5A EP16700709A EP3247272A1 EP 3247272 A1 EP3247272 A1 EP 3247272A1 EP 16700709 A EP16700709 A EP 16700709A EP 3247272 A1 EP3247272 A1 EP 3247272A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- bkg
- heartbeat
- signal
- sensor
- cross
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000005314 correlation function Methods 0.000 claims abstract description 12
- 230000006870 function Effects 0.000 claims description 8
- 230000003340 mental effect Effects 0.000 claims description 7
- 230000003044 adaptive effect Effects 0.000 claims description 5
- 230000036772 blood pressure Effects 0.000 claims description 4
- 230000006996 mental state Effects 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 claims 1
- 230000003236 psychic effect Effects 0.000 abstract 1
- 238000013016 damping Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 230000001133 acceleration Effects 0.000 description 2
- 238000005311 autocorrelation function Methods 0.000 description 2
- 230000000875 corresponding effect Effects 0.000 description 2
- 230000001419 dependent effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 206010002199 Anaphylactic shock Diseases 0.000 description 1
- 210000001367 artery Anatomy 0.000 description 1
- 238000009610 ballistocardiography Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000018044 dehydration Effects 0.000 description 1
- 238000006297 dehydration reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000004217 heart function Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 230000004807 localization Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000010363 phase shift Effects 0.000 description 1
- 230000000284 resting effect Effects 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7246—Details of waveform analysis using correlation, e.g. template matching or determination of similarity
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K28/00—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions
- B60K28/02—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver
- B60K28/06—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver responsive to incapacity of driver
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/0245—Detecting, measuring or recording pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1102—Ballistocardiography
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/18—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state for vehicle drivers or machine operators
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7278—Artificial waveform generation or derivation, e.g. synthesising signals from measured signals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/15—Correlation function computation including computation of convolution operations
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03H—IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
- H03H17/00—Networks using digital techniques
- H03H17/02—Frequency selective networks
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/20—Workers
- A61B2503/22—Motor vehicles operators, e.g. drivers, pilots, captains
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6893—Cars
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W2040/0872—Driver physiology
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W2040/0881—Seat occupation; Driver or passenger presence
Definitions
- the invention relates to a method and a device for detecting the physical and / or mental condition of a vehicle occupant based on a BKG (ballistocardiogram) signal, which is obtained by means of a BKG sensor, according to the preambles of the independent claims.
- BKG ballistocardiogram
- the BKG sensor here is a Wheatstone bridge with strain gauges in a vehicle seat, which can be expected to produce a very high noise figure given the low vibration amplitudes.
- the resulting BKG signal is compared to a pattern selected from many patterns stored in a database.
- such a method requires a great amount of computation, and it has been found that useful results are not obtainable fast enough in this way either.
- Vehicle occupants can be annoying.
- DE 10 201 1 1 13 100 A1 describes a method in which a first BKG sensor detects BKG signals of a vehicle occupant.
- a second BKG sensor is vibration-isolated arranged in the vehicle seats and generates a disturbance reference for the BKG signal of the first sensor. To minimize the interference signals, the two signals are compared by means of an algorithm. However, the second BKG sensor means a significant additional technical effort. From US 201 1 006 6042 A1 an ECG measuring method is known in which the measured signals are stored and the current signal is compared with the stored signals. However, this method requires multiple ECG sensors and is therefore expensive.
- the invention is based on the object, the physical and / or mental condition of a vehicle occupant quickly, reliably, with as little as possible
- Amplifier and filter and to be able to recognize without disturbing the vehicle occupant.
- the BKG sensor is a MEM sensor, a
- microelectromechanical sensor such.
- B a spring-mass system
- a BKG signal obtained by means of one or more MEM sensors in a vehicle one obtains better, more stable, and faster results when called first in a matched filter, also called matched filter or correlation filter. performs a cross-correlation (convolution) of the BKG signal with heartbeat parameters, which within
- the heartbeat parameters may simply be a number of heartbeat patterns generated by frequency variation of one or more predetermined heartbeat patterns within natural heartbeat limits.
- the heartbeat patterns can be generated by frequency variation of a single predetermined fundamental heartbeat pattern. This way, you do not have to search larger databases.
- the optimal filter thus represents a time-varying optimal filter, the parameters such. B. the signal length and heart rate can be matched to the pattern to be sought in the noise of the sensor signal. This tuning is achieved by considering the maximum of the cross-correlation function. Variations in the parameters can be adopted directly from the filtered results in a steady state (parameters fixed for a given time).
- Cross-correlation function found by short-term interval cross-correlation of the BKG signal with the generated heartbeat patterns with respect to the variation frequency.
- the present invention it is not searched in a large database and then adapted again, as in the generic state of the art, but a given signal is varied over a parameter space until the peak amplitude is optimized.
- the BKG signal may be subjected to an adaptive window function dependent on the length of the heartbeat pattern after the maximum of the cross-correlation function has been found and before the probable peaks are located.
- optimization of the peak amplitude can be performed.
- the parameters can be continuously adapted, which is not possible in a database search of patterns due to limited size.
- the optional window function and parameter tuning act as filters eliminating misrecognized peaks.
- the BKG sensor must be able to detect the vibrations in the main artery of a vehicle occupant, which are transmitted through the body.
- the BKG sensor is preferably installed in a vehicle seat, which is usually the driver's seat, but it could possibly be located elsewhere, eg. B. in a steering wheel.
- other vehicle seats may be equipped with BKG sensors to monitor the condition of the persons sitting thereon.
- the heart rate As a parameter for estimating the physical and / or mental condition of a vehicle occupant, not only the heart rate but also the blood pressure thereof can be determined by means of the method, in particular because the peak amplitudes are correlated with the blood pressure, but also a certain amount
- the invention enables a fast, reliable and inexpensive
- the invention can be combined with other methods for detecting the physical and / or mental condition of drivers, for. As those who evaluate driver reactions to certain traffic situations.
- Vehicle seat are tuned that different Wegdämpfungs- and support coefficients are detected, stored and taken into account. Therefore, the process can be easily carried out in any vehicles, quite
- the invention has easy portability to different vehicles and seating concepts.
- Fig. 7 is a block diagram for explaining the ballistocardiographic
- the signals shown in FIGS. 1 to 6 are the following signals simulated on the basis of realistic values:
- Fig. 1 shows typical seat acceleration noise in a vehicle seat, with an average amplitude of approximately 0.1 g during travel and over a 10 second time.
- Figure 2 shows the amplitude of a heartbeat signal arriving at a BKG seat sensor with a maximum amplitude of approximately 0.0005 g and over a time of 1 second.
- the signal has the form of a damped cosine function, with the form of damping here not relevant.
- FIG. 3 shows the sum of the signals of FIGS. 1 and 2 detected by the BKG seat sensor over a time of 10 seconds.
- Fig. 4 shows the autocorrelation function of the seat signal of Fig. 1, d. h., the
- Fig. 5 shows the autocorrelation function of the heartbeat signal of Fig. 2.
- Fig. 6 shows the absolute value of the cross-correlation of the sum of seat noise and heartbeat signal detected by the BKG seat sensor.
- the amplitude in the recognition process depends on two factors, namely, first, the noise of the seat measurement (inherent noise and noise induced by the road and the driver), and second, the length and
- Fig. 7 is a block diagram for explaining the ballistocardiographic
- a BKG signal is continuously detected by a seat sensor and supplied to a block 2 in sections corresponding to short time intervals.
- the block 2 represents an optimal filter, which performs a short-term interval cross-correlation (KKF) of the BKG signal with different heartbeat patterns 3a, 3b, 3c corresponding to different heart rates and by
- Frequency variation of a predetermined heartbeat pattern 5 are generated within natural heartbeat limits.
- the optimum filter 2 also receives the respective tuning frequency of the frequency variation carried out in block 4.
- the cross-correlation function obtained in block 2 is subjected to an adaptive window function in block 6 as a function of the length of the heartbeat pattern and of the measured BKG signal in order to limit the computational effort.
- the absolute value of the cross-correlation of the measured sum of seat noise and heartbeat signal is obtained, as shown in block 7 and in FIG.
- Parameter tuning to optimize the peak amplitudes performed before the peaks in the waveform are located in block 9 (after maximum
- This heart rate is not a smooth signal and therefore requires another filter, not shown, to eliminate outliers resulting from non-recognition of peaks in the cross-correlation function.
- a filter may be a mean value filter or a residual control Kalman filter, both of which are capable of eliminating atypical measurements in real time.
- the above-described method contains the following two essential ones
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Surgery (AREA)
- Medical Informatics (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Molecular Biology (AREA)
- Physiology (AREA)
- Cardiology (AREA)
- Psychiatry (AREA)
- Signal Processing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Computational Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Dentistry (AREA)
- Psychology (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Child & Adolescent Psychology (AREA)
- Hospice & Palliative Care (AREA)
- Educational Technology (AREA)
- Developmental Disabilities (AREA)
- Social Psychology (AREA)
- Vascular Medicine (AREA)
- Chemical & Material Sciences (AREA)
- Computing Systems (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102015200756 | 2015-01-20 | ||
PCT/EP2016/050608 WO2016116342A1 (en) | 2015-01-20 | 2016-01-14 | Method and apparatus for recognising the condition of vehicle occupants |
Publications (2)
Publication Number | Publication Date |
---|---|
EP3247272A1 true EP3247272A1 (en) | 2017-11-29 |
EP3247272B1 EP3247272B1 (en) | 2019-05-15 |
Family
ID=55168244
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP16700709.5A Active EP3247272B1 (en) | 2015-01-20 | 2016-01-14 | Method and apparatus for recognising the condition of vehicle occupants |
Country Status (4)
Country | Link |
---|---|
US (1) | US10011176B2 (en) |
EP (1) | EP3247272B1 (en) |
DE (1) | DE102016200337A1 (en) |
WO (1) | WO2016116342A1 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109350050A (en) * | 2018-11-20 | 2019-02-19 | 锐捷网络股份有限公司 | Heartbeat interval detection method and device |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2016116342A1 (en) | 2015-01-20 | 2016-07-28 | Ford Global Technologies, Llc | Method and apparatus for recognising the condition of vehicle occupants |
CN107788967B (en) * | 2016-08-30 | 2021-07-06 | 华邦电子股份有限公司 | Fatigue detection device and fatigue detection method |
Family Cites Families (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE10042367A1 (en) | 2000-08-29 | 2002-05-02 | Bosch Gmbh Robert | Method and device for diagnosing a driver's ability to drive in a motor vehicle |
DE10126224A1 (en) | 2001-05-30 | 2002-12-12 | Bosch Gmbh Robert | Method and device for characterizing the condition of the driver of a motor vehicle |
US20110263994A1 (en) * | 2007-12-13 | 2011-10-27 | James Alexander Burns | Method and Apparatus for Acquiring and Analyzing Data Relating to a Physiological Condition of a Subject |
US20110098583A1 (en) | 2009-09-15 | 2011-04-28 | Texas Instruments Incorporated | Heart monitors and processes with accelerometer motion artifact cancellation, and other electronic systems |
EP2459065B1 (en) * | 2009-07-31 | 2014-01-08 | Koninklijke Philips N.V. | Method and apparatus for the analysis of a ballistocardiogram signal |
DE102011113100A1 (en) | 2011-09-09 | 2013-03-14 | Volkswagen Aktiengesellschaft | Method for detection of ballistocardiogenic or respiratory-caused movements of person on motor vehicle seat, involves designing sensor as ballistographic sensor for detection of ballistocardiogenic or respiratory-caused movements of person |
KR101417226B1 (en) | 2011-12-15 | 2014-07-09 | 현대자동차주식회사 | Ballistocardiogram analysis apparatus and method and system using ballistocardiogram analysis for vehicle |
KR101316497B1 (en) | 2012-08-03 | 2013-10-10 | 현대자동차주식회사 | System and method for observing heart rate of passenger |
CN106068097B (en) * | 2014-02-20 | 2020-09-29 | 佛吉亚汽车座椅有限责任公司 | Vehicle seat with integrated sensor |
US10806374B2 (en) * | 2014-08-25 | 2020-10-20 | Georgia Tech Research Corporation | Noninvasive systems and methods for monitoring health characteristics |
WO2016116342A1 (en) | 2015-01-20 | 2016-07-28 | Ford Global Technologies, Llc | Method and apparatus for recognising the condition of vehicle occupants |
-
2016
- 2016-01-14 WO PCT/EP2016/050608 patent/WO2016116342A1/en active Application Filing
- 2016-01-14 EP EP16700709.5A patent/EP3247272B1/en active Active
- 2016-01-14 US US15/519,055 patent/US10011176B2/en active Active
- 2016-01-14 DE DE102016200337.2A patent/DE102016200337A1/en not_active Withdrawn
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109350050A (en) * | 2018-11-20 | 2019-02-19 | 锐捷网络股份有限公司 | Heartbeat interval detection method and device |
CN109350050B (en) * | 2018-11-20 | 2021-08-17 | 锐捷网络股份有限公司 | Heartbeat interval detection method and device |
Also Published As
Publication number | Publication date |
---|---|
US20170225566A1 (en) | 2017-08-10 |
WO2016116342A1 (en) | 2016-07-28 |
EP3247272B1 (en) | 2019-05-15 |
DE102016200337A1 (en) | 2016-07-21 |
US10011176B2 (en) | 2018-07-03 |
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